#!/usr/bin/env python
from code import InteractiveConsole
import readline  # noqa
import shutil
import tarfile

import click
import matplotlib
import numpy as np
import pandas as pd

from zipline import examples
from zipline.data.bundles import register
from zipline.testing import test_resource_path, tmp_dir
from zipline.utils.cache import dataframe_cache


matplotlib.use('Agg')

INPUT_DATA_START_DATE = pd.Timestamp('2004-01-02')
INPUT_DATA_END_DATE = pd.Timestamp('2014-12-31')
INPUT_DATA_SYMBOLS = (
    'AMD',
    'CERN',
    'COST',
    'DELL',
    'GPS',
    'INTC',
    'MMM',
    'AAPL',
    'MSFT',
)

banner = """
Please verify that the new performance is more correct than the old
performance.

To do this, please inspect `new` and `old` which are mappings from the name of
the example to the results.

The name `cols_to_check` has been bound to a list of perf columns that we
expect to be reliably deterministic (excluding, e.g. `orders`, which contains
UUIDs).

Calling `changed_results(new, old)` will compute a list of names of results
that produced a different value in one of the `cols_to_check` fields.

If you are sure that the new results are more correct, or that the difference
is acceptable, please call `correct()`. Otherwise, call `incorrect()`.

Note
----
Remember to run this with the other supported versions of pandas!
"""


def changed_results(new, old):
    """
    Get the names of results that changed since the last invocation.

    Useful for verifying that only expected results changed.
    """
    changed = []
    for col in new:
        if col not in old:
            changed.append(col)
            continue
        try:
            pd.util.testing.assert_frame_equal(
                new[col][examples._cols_to_check],
                old[col][examples._cols_to_check],
            )
        except AssertionError:
            changed.append(col)
    return changed


def eof(*args, **kwargs):
    raise EOFError()


@click.command()
@click.option(
    '--rebuild-input',
    is_flag=True,
    default=False,
    help="Should we rebuild the input data from Yahoo?",
)
@click.pass_context
def main(ctx, rebuild_input):
    """Rebuild the perf data for test_examples
    """
    example_path = test_resource_path('example_data.tar.gz')

    with tmp_dir() as d:
        with tarfile.open(example_path) as tar:
            tar.extractall(d.path)

        # The environ here should be the same (modulo the tempdir location)
        # as we use in test_examples.py.
        environ = {'ZIPLINE_ROOT': d.getpath('example_data/root')}

        if rebuild_input:
            raise NotImplementedError(
                "We cannot rebuild input for Yahoo because of "
                "changes Yahoo made to their API, so we cannot "
                "use Yahoo data bundles anymore. This will be fixed in "
                "a future release",
            )

        # we need to register the bundle; it is already ingested and saved in
        # the example_data.tar.gz file
        @register('test')
        def nop_ingest(*args, **kwargs):
            raise NotImplementedError('we cannot rebuild the test buindle')

        new_perf_path = d.getpath(
            'example_data/new_perf/%s' % pd.__version__.replace('.', '-'),
        )
        c = dataframe_cache(
            new_perf_path,
            serialization='pickle:2',
        )
        with c:
            for name in examples.EXAMPLE_MODULES:
                c[name] = examples.run_example(name, environ=environ)

            correct_called = [False]

            console = None

            def _exit(*args, **kwargs):
                console.raw_input = eof

            def correct():
                correct_called[0] = True
                _exit()

            expected_perf_path = d.getpath(
                'example_data/expected_perf/%s' %
                pd.__version__.replace('.', '-'),
            )

            # allow users to run some analysis to make sure that the new
            # results check out
            console = InteractiveConsole({
                'correct': correct,
                'exit': _exit,
                'incorrect': _exit,
                'new': c,
                'np': np,
                'old': dataframe_cache(
                    expected_perf_path,
                    serialization='pickle',
                ),
                'pd': pd,
                'cols_to_check': examples._cols_to_check,
                'changed_results': changed_results,
            })
            console.interact(banner)

            if not correct_called[0]:
                ctx.fail(
                    '`correct()` was not called! This means that the new'
                    ' results will not be written',
                )

            # move the new results to the expected path
            shutil.rmtree(expected_perf_path)
            shutil.copytree(new_perf_path, expected_perf_path)

        # Clear out all the temporary new perf so it doesn't get added to the
        # tarball.
        shutil.rmtree(d.getpath('example_data/new_perf/'))

        with tarfile.open(example_path, 'w|gz') as tar:
            tar.add(d.getpath('example_data'), 'example_data')


if __name__ == '__main__':
    main()
